13.1 Applications

The concept of multiple linear regression is applicable in the below-listed examples;

• Since the dependent variable is associated with independent variables, it can be applicable while predicting the expected crop yield with the consideration of climate factors such as a certain rainfall, temperature and fertilizer level, etc.

• In order to find the connection between the GPA of a class of students and the number of study-hours and their height. Here the dependent variable is GPA and the number of study-hours and student’s heights is explanatory variables.

• For determining the salary of a batch of executives in a company and the number of years of experience and the age of executives, regression analysis can be used. Here, the dependent variable for this regression is the salary of executives, and the experience and age of the executives are independent variables.

• An example of identifying the relationship between the distance covered (dependent variable) by the cab driver and the age of the driver and years of experience (independent variables).

References:

• Adapted from here